{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e3756802",
   "metadata": {},
   "source": [
    "The following example shows how to use TransBigData to process bus GPS data, including identifying bus arrival and departure information, calculate travel time and operating speed for buses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4cdebbe4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:02.742980Z",
     "start_time": "2021-12-05T13:09:02.739571Z"
    }
   },
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "30796fdd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:03.217180Z",
     "start_time": "2021-12-05T13:09:02.745837Z"
    }
   },
   "outputs": [],
   "source": [
    "import transbigdata as tbd\n",
    "import pandas as pd\n",
    "import geopandas as gpd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee5886f5",
   "metadata": {},
   "source": [
    "# Read data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fc54f4d",
   "metadata": {},
   "source": [
    "## Read bus GPS data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e5111f55",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:03.379634Z",
     "start_time": "2021-12-05T13:09:03.218572Z"
    }
   },
   "outputs": [],
   "source": [
    "BUS_GPS= pd.read_csv(r'data/busgps.csv',header = None)\n",
    "BUS_GPS.columns = ['GPSDateTime', 'LineId', 'LineName', 'NextLevel', 'PrevLevel',\n",
    "       'Strlatlon', 'ToDir', 'VehicleId', 'VehicleNo', 'unknow']\n",
    "#Convert the time column to datetime type\n",
    "BUS_GPS['GPSDateTime'] = pd.to_datetime(BUS_GPS['GPSDateTime'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81ed52b0",
   "metadata": {},
   "source": [
    "Convert coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1107e2d6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:03.508971Z",
     "start_time": "2021-12-05T13:09:03.381092Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GPSDateTime</th>\n",
       "      <th>LineId</th>\n",
       "      <th>LineName</th>\n",
       "      <th>NextLevel</th>\n",
       "      <th>PrevLevel</th>\n",
       "      <th>Strlatlon</th>\n",
       "      <th>ToDir</th>\n",
       "      <th>VehicleId</th>\n",
       "      <th>VehicleNo</th>\n",
       "      <th>unknow</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-01-16 23:59:59</td>\n",
       "      <td>7100</td>\n",
       "      <td>71</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>121.335413,31.173188</td>\n",
       "      <td>1</td>\n",
       "      <td>沪D-R7103</td>\n",
       "      <td>Z5A-0021</td>\n",
       "      <td>1</td>\n",
       "      <td>121.330858</td>\n",
       "      <td>31.175129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-01-17 00:00:00</td>\n",
       "      <td>7100</td>\n",
       "      <td>71</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>121.334616,31.172271</td>\n",
       "      <td>1</td>\n",
       "      <td>沪D-R1273</td>\n",
       "      <td>Z5A-0002</td>\n",
       "      <td>1</td>\n",
       "      <td>121.330063</td>\n",
       "      <td>31.174214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-01-17 00:00:00</td>\n",
       "      <td>7100</td>\n",
       "      <td>71</td>\n",
       "      <td>24</td>\n",
       "      <td>23</td>\n",
       "      <td>121.339955,31.173025</td>\n",
       "      <td>0</td>\n",
       "      <td>沪D-R5257</td>\n",
       "      <td>Z5A-0020</td>\n",
       "      <td>1</td>\n",
       "      <td>121.335390</td>\n",
       "      <td>31.174958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-01-17 00:00:01</td>\n",
       "      <td>7100</td>\n",
       "      <td>71</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>121.409491,31.20433</td>\n",
       "      <td>0</td>\n",
       "      <td>沪D-R5192</td>\n",
       "      <td>Z5A-0013</td>\n",
       "      <td>1</td>\n",
       "      <td>121.404843</td>\n",
       "      <td>31.206179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-01-17 00:00:03</td>\n",
       "      <td>7100</td>\n",
       "      <td>71</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>121.398615,31.200253</td>\n",
       "      <td>0</td>\n",
       "      <td>沪D-T0951</td>\n",
       "      <td>Z5A-0022</td>\n",
       "      <td>1</td>\n",
       "      <td>121.393966</td>\n",
       "      <td>31.202103</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          GPSDateTime  LineId  LineName  NextLevel  PrevLevel  \\\n",
       "0 2019-01-16 23:59:59    7100        71          2          1   \n",
       "1 2019-01-17 00:00:00    7100        71          2          1   \n",
       "2 2019-01-17 00:00:00    7100        71         24         23   \n",
       "3 2019-01-17 00:00:01    7100        71         14         13   \n",
       "4 2019-01-17 00:00:03    7100        71         15         14   \n",
       "\n",
       "              Strlatlon  ToDir VehicleId VehicleNo  unknow         lon  \\\n",
       "0  121.335413,31.173188      1  沪D-R7103  Z5A-0021       1  121.330858   \n",
       "1  121.334616,31.172271      1  沪D-R1273  Z5A-0002       1  121.330063   \n",
       "2  121.339955,31.173025      0  沪D-R5257  Z5A-0020       1  121.335390   \n",
       "3   121.409491,31.20433      0  沪D-R5192  Z5A-0013       1  121.404843   \n",
       "4  121.398615,31.200253      0  沪D-T0951  Z5A-0022       1  121.393966   \n",
       "\n",
       "         lat  \n",
       "0  31.175129  \n",
       "1  31.174214  \n",
       "2  31.174958  \n",
       "3  31.206179  \n",
       "4  31.202103  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Slice the latitude and longitude string\n",
    "BUS_GPS['lon'] = BUS_GPS['Strlatlon'].apply(lambda r:r.split(',')[0])\n",
    "BUS_GPS['lat'] = BUS_GPS['Strlatlon'].apply(lambda r:r.split(',')[1])\n",
    "#Convert coordinates\n",
    "BUS_GPS['lon'],BUS_GPS['lat'] = tbd.gcj02towgs84(BUS_GPS['lon'].astype(float),BUS_GPS['lat'].astype(float))\n",
    "BUS_GPS.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86abb3a1",
   "metadata": {},
   "source": [
    "## Read the bus line data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9c8920d7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:04.073839Z",
     "start_time": "2021-12-05T13:09:03.510365Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "shp = r'data/busline.json'\n",
    "linegdf = gpd.GeoDataFrame.from_file(shp,encoding = 'gbk')\n",
    "line = linegdf.iloc[:1].copy()\n",
    "line.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "118f06d1",
   "metadata": {},
   "source": [
    "## Read the bus stop data\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "24d37c03",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:04.162312Z",
     "start_time": "2021-12-05T13:09:04.075108Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "shp = r'data/busstop.json'\n",
    "stop = gpd.GeoDataFrame.from_file(shp,encoding = 'gbk')\n",
    "stop = stop[stop['linename'] == '71路(延安东路外滩-申昆路枢纽站)']\n",
    "stop.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63cd0266",
   "metadata": {},
   "source": [
    "# Identifying arrival and departure information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9b8d0013",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:22.153701Z",
     "start_time": "2021-12-05T13:09:04.163297Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据清洗中...\n",
      "运行位置匹配中......\n",
      "匹配到离站信息........................................................................................................................................................."
     ]
    }
   ],
   "source": [
    "arriveinfo = tbd.busgps_arriveinfo(BUS_GPS,line,stop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "825fd2c7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:22.162623Z",
     "start_time": "2021-12-05T13:09:22.155940Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>arrivetime</th>\n",
       "      <th>leavetime</th>\n",
       "      <th>stopname</th>\n",
       "      <th>VehicleId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-01-17 07:19:42</td>\n",
       "      <td>2019-01-17 07:31:14</td>\n",
       "      <td>延安东路外滩</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-01-17 09:53:08</td>\n",
       "      <td>2019-01-17 10:09:34</td>\n",
       "      <td>延安东路外滩</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-01-17 07:13:23</td>\n",
       "      <td>2019-01-17 07:15:45</td>\n",
       "      <td>西藏中路</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-01-17 07:34:24</td>\n",
       "      <td>2019-01-17 07:35:38</td>\n",
       "      <td>西藏中路</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-01-17 09:47:03</td>\n",
       "      <td>2019-01-17 09:50:22</td>\n",
       "      <td>西藏中路</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-01-17 16:35:52</td>\n",
       "      <td>2019-01-17 16:36:49</td>\n",
       "      <td>吴宝路</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-01-17 19:21:09</td>\n",
       "      <td>2019-01-17 19:23:44</td>\n",
       "      <td>吴宝路</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-01-17 13:36:26</td>\n",
       "      <td>2019-01-17 13:45:04</td>\n",
       "      <td>申昆路枢纽站</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-01-17 15:52:26</td>\n",
       "      <td>2019-01-17 16:32:46</td>\n",
       "      <td>申昆路枢纽站</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-01-17 19:24:54</td>\n",
       "      <td>2019-01-17 19:25:55</td>\n",
       "      <td>申昆路枢纽站</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8984 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            arrivetime           leavetime stopname  VehicleId\n",
       "0  2019-01-17 07:19:42 2019-01-17 07:31:14   延安东路外滩          1\n",
       "1  2019-01-17 09:53:08 2019-01-17 10:09:34   延安东路外滩          1\n",
       "0  2019-01-17 07:13:23 2019-01-17 07:15:45     西藏中路          1\n",
       "1  2019-01-17 07:34:24 2019-01-17 07:35:38     西藏中路          1\n",
       "2  2019-01-17 09:47:03 2019-01-17 09:50:22     西藏中路          1\n",
       "..                 ...                 ...      ...        ...\n",
       "2  2019-01-17 16:35:52 2019-01-17 16:36:49      吴宝路        148\n",
       "3  2019-01-17 19:21:09 2019-01-17 19:23:44      吴宝路        148\n",
       "0  2019-01-17 13:36:26 2019-01-17 13:45:04   申昆路枢纽站        148\n",
       "1  2019-01-17 15:52:26 2019-01-17 16:32:46   申昆路枢纽站        148\n",
       "2  2019-01-17 19:24:54 2019-01-17 19:25:55   申昆路枢纽站        148\n",
       "\n",
       "[8984 rows x 4 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arriveinfo"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80754885",
   "metadata": {},
   "source": [
    "# One-way travel time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8bb0bc71",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:22.178734Z",
     "start_time": "2021-12-05T13:09:22.164020Z"
    }
   },
   "outputs": [],
   "source": [
    "onewaytime = tbd.busgps_onewaytime(arriveinfo,\n",
    "                                   start = '延安东路外滩',\n",
    "                                   end = '申昆路枢纽站',col = ['VehicleId','stopname'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6c0a8be3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:22.786545Z",
     "start_time": "2021-12-05T13:09:22.179646Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Draw box plot for one-way travel time\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.rcParams['font.serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "fig     = plt.figure(1,(8,4),dpi = 250)\n",
    "ax1      = plt.subplot(111)\n",
    "\n",
    "sns.boxplot(x = 'shour',y = onewaytime['duration']/60,hue = '方向',data = onewaytime)\n",
    "\n",
    "plt.ylabel('One-way travel time（minutes）')\n",
    "plt.xlabel('Hour')\n",
    "plt.ylim(0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56da827b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:07:49.977133Z",
     "start_time": "2021-12-05T13:07:49.953134Z"
    }
   },
   "source": [
    "# Operating speed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b32bb12e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:22.823490Z",
     "start_time": "2021-12-05T13:09:22.787466Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"300\" height=\"300\" viewBox=\"40625905.40167639 3450082.291916917 16287.58375903964 8519.728645049501\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,6908684.312478883)\"><polyline fill=\"none\" stroke=\"#66cc99\" stroke-width=\"108.58389172693093\" points=\"40641589.7415925,3457998.7767190393 40641564.528455764,3457987.0750569124 40641551.682611324,3457957.9368014038 40641532.874952495,3457946.434645019 40641486.13194068,3457917.1125297276 40641438.62223612,3457891.234726416 40641394.219187826,3457875.934072721 40641357.34876466,3457863.1897718594 40641308.01334101,3457823.6331660785 40641285.24362306,3457810.2657542247 40641230.470475,3457803.7177155805 40641095.09775124,3457814.6928012925 40641021.4044936,3457811.344037363 40640987.834793225,3457807.078242173 40640874.06071894,3457783.6748151104 40640686.44350322,3457697.527431022 40640612.81649443,3457656.18952613 40640579.36155626,3457635.818526752 40640439.96052764,3457538.948382848 40640372.33262747,3457496.7816192177 40640287.859446235,3457411.392683418 40640239.71473534,3457377.17398944 40640218.92956737,3457366.009736179 40640037.83884704,3457269.02109117 40640003.17887124,3457250.327204889 40639965.986029014,3457230.2017100654 40639742.89924949,3457119.468548286 40639588.19609786,3457049.2449655277 40639510.217354245,3457021.2180316825 40639446.32016123,3457005.787325533 40639421.613870814,3456999.8750274493 40639308.02778777,3456993.7844447284 40639127.55917114,3457000.1554362415 40639082.3877043,3457001.7989031374 40639036.5859956,3457003.256024571 40638966.13125607,3457002.0178055824 40638801.67389181,3456998.372570523 40638755.13470875,3457000.2716789665 40638640.675995275,3456993.938090095 40638462.10390607,3456989.4494061847 40638352.29674844,3456986.700514094 40638227.2875941,3456973.7841783706 40638176.34723669,3456965.5836974587 40638128.74253666,3456951.4235835844 40638069.694010295,3456930.636623791 40638009.91099656,3456902.6531758267 40637910.31352029,3456859.1780459234 40637794.76019954,3456802.8701154115 40637710.470322266,3456761.8806659835 40637644.17616536,3456733.1866237377 40637528.98474005,3456690.2795182993 40637321.51840409,3456638.0531528154 40637209.91598845,3456615.7480044854 40637182.06627201,3456602.2741845665 40637163.01866737,3456593.831826051 40636999.994530216,3456490.215107991 40636960.659818165,3456473.802885649 40636839.269689925,3456449.5878806156 40636782.879698254,3456434.5151013318 40636731.04262942,3456413.222989342 40636709.859337226,3456394.3645212003 40636630.95690906,3456309.6115681403 40636577.50821324,3456265.0797348158 40636525.48098086,3456221.8769206386 40636422.304267846,3456150.3627867647 40636353.65580916,3456096.0957215684 40636229.442068025,3455974.045849564 40636155.689056054,3455910.184196205 40636037.24101199,3455846.0005178764 40636018.25572533,3455833.5651588473 40635983.709482364,3455811.0071008285 40635914.92721609,3455747.7441789447 40635853.29597851,3455660.116531985 40635797.159009695,3455555.8958575646 40635783.49004898,3455536.753430793 40635759.93922317,3455505.2714474797 40635721.697810404,3455477.8672657874 40635685.57212119,3455460.032883924 40635571.65042462,3455432.3888172307 40635491.0628734,3455412.7694615535 40635249.48742542,3455354.029610931 40635205.72875705,3455343.434290664 40635110.67410723,3455309.3008776316 40634884.00230801,3455236.1617692085 40634427.71463349,3455104.363305482 40634380.65859542,3455091.4012108124 40634256.46393457,3455037.0021596183 40634178.0179329,3454977.339189382 40634081.11137028,3454880.7532282528 40634038.57570835,3454842.9616596657 40633748.05625088,3454585.289784535 40633724.7710311,3454568.569072912 40633684.57538688,3454539.5171170523 40633659.60869479,3454521.5641482132 40633611.778811105,3454491.0141109666 40633487.48864681,3454429.2671619593 40633399.972733095,3454399.1547663184 40633366.567188255,3454387.744577766 40633310.0467481,3454369.251368814 40633029.07913235,3454277.6800038684 40632964.530692525,3454256.8053723145 40632899.41511763,3454230.6451676576 40632861.34674328,3454224.237195335 40632838.80548181,3454211.3679100024 40632764.57051619,3454153.9217095193 40632688.84223714,3454111.2979146037 40632507.0083332,3453991.874049912 40632478.763635896,3453971.571821448 40632456.87622593,3453955.8667735946 40632312.45636959,3453852.2183227837 40632236.31481651,3453797.5908998474 40632180.530299634,3453757.9689168464 40632038.265027665,3453656.8463752684 40631945.406265646,3453590.9602320977 40631887.5682499,3453549.7781804004 40631854.52505352,3453526.321401917 40631803.93003006,3453490.4071217948 40631763.0752642,3453461.3437078306 40631646.936031215,3453378.544185736 40631496.17416337,3453271.2506817435 40631438.86952703,3453239.2756400127 40631275.28759617,3453152.2704254743 40631195.24578444,3453109.793892601 40631154.969051965,3453093.593147026 40631095.19389621,3453069.3734814525 40631008.01101658,3453034.259481947 40630959.66400982,3453014.7560497276 40630922.07954771,3452999.622820336 40630863.545832895,3452975.986057672 40630839.12874695,3452966.171352041 40630757.37743125,3452934.8775545605 40630604.06933335,3452876.3212155993 40630462.30692922,3452822.2770543387 40630404.43262792,3452800.1454288466 40630343.666472785,3452776.9393090173 40630317.38210586,3452766.832997894 40630158.285736434,3452706.135256619 40630045.99769831,3452663.23978557 40629970.56134732,3452635.336681115 40629602.30419231,3452499.539741377 40629459.89470935,3452451.478670845 40629435.333578534,3452443.2393128807 40629408.59366784,3452431.5383116086 40629227.446758464,3452352.3197513577 40629194.83201039,3452333.944535432 40629097.639842235,3452282.634436442 40628992.637210675,3452235.0810893914 40628952.43343807,3452216.8968363684 40628854.95939934,3452181.981971536 40628826.77744269,3452171.901660252 40628589.6434814,3452087.065477777 40628542.44121948,3452070.2561569954 40628504.70857504,3452056.7050169264 40628453.26494607,3452038.3153165835 40628394.6997883,3452017.1399450186 40628325.46471276,3451986.10832617 40628249.92805286,3451946.491680486 40628211.680377595,3451920.931624811 40628137.48835117,3451871.3335203403 40628090.651170105,3451828.8332478665 40628024.517272934,3451768.8145716046 40627952.663232945,3451703.7072015707 40627926.59565674,3451680.0538563463 40627881.09168577,3451638.770997562 40627686.81005611,3451462.639637927 40627653.39530522,3451432.038942489 40627626.418516606,3451407.4004991297 40627586.17433099,3451374.0803684033 40627512.836880386,3451313.2239374053 40627372.232029065,3451203.7676769663 40627269.15173674,3451123.5167165203 40627237.52801897,3451098.4645291157 40627056.01025072,3450954.719959912 40626912.80693771,3450841.3717211764 40626789.24955743,3450770.5282269213 40626740.71198075,3450746.3098537046 40626678.448015526,3450715.1785137146 40626618.939449765,3450685.5357598444 40626508.645519316,3450812.215066725 40626750.368466064,3450952.9234327036\" opacity=\"0.8\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.linestring.LineString at 0x7f97d9212df0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Convert coordinate system to projection coordinate system for later calculation of distance\n",
    "line.crs = {'init':'epsg:4326'}\n",
    "line_2416 = line.to_crs(epsg = 2416)\n",
    "#Obtain the geometry inside the bus route data\n",
    "lineshp = line_2416['geometry'].iloc[0]\n",
    "linename = line_2416['name'].iloc[0]\n",
    "lineshp\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "446bc7df",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:22.827739Z",
     "start_time": "2021-12-05T13:09:22.824384Z"
    }
   },
   "outputs": [],
   "source": [
    "#Remove the data with abnormal speed\n",
    "#Vehicle speed units converted to km/h\n",
    "onewaytime['speed'] = (lineshp.length/onewaytime['duration'])*3.6\n",
    "onewaytime = onewaytime[onewaytime['speed']<=60]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "93bb8339",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-05T13:09:23.285463Z",
     "start_time": "2021-12-05T13:09:22.828614Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Travel speed distribution\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.rcParams['font.serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "fig     = plt.figure(1,(8,4),dpi = 250)\n",
    "ax1      = plt.subplot(111)\n",
    "sns.boxplot(x = 'shour',y = 'speed',hue = '方向',data = onewaytime)\n",
    "plt.ylabel('Operating speed（km/h）')\n",
    "plt.xlabel('Hour')\n",
    "plt.ylim(0)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
